The RDF Dataset Enrichment Framework (DEER), is a modular, extensible software system for efficient
computation of arbitrary operations on RDF datasets.
The atomic operations involved in this process, dubbed enrichment operators,
are configured using RDF, making DEER a native semantic web citizen.
Enrichment operators are mapped to nodes of a directed acyclic graphs to build complex enrichment
models, in which the connections between two nodes represent intermediary datasets.
To bundle DEER as a single jar file, do
mvn clean package shade:shade -Dmaven.test.skip=true
Then execute it using
java -jar deer-cli/target/deer-cli-${current-version}.jar path_to_config.ttl
The Docker image declares two volumes:
- /plugins - this is where plugins are dynamically loaded from
- /data - this is where configuration as well as input/output data will reside
For running DEER server in Docker, we expose port 8080.
The image accepts the same arguments as the deer-cli.jar, i.e. to run a configuration at ./my-configuration
:
docker run -it --rm \
-v $(pwd)/plugins:/plugins \
-v $(pwd):/data dicegroup/deer:latest \
/data/my-configuration.ttl
To run DEER server:
docker run -it --rm \
-v $(pwd)/plugins:/plugins \
-p 8080:8080 \
-s
<dependencies>
<dependency>
<groupId>org.aksw.deer</groupId>
<artifactId>deer-core</artifactId>
<version>2.3.1</version>
</dependency>
</dependencies>
<repositories>
<repository>
<id>maven.aksw.internal</id>
<name>University Leipzig, AKSW Maven2 Internal Repository</name>
<url>http://maven.aksw.org/repository/internal/</url>
</repository>
<repository>
<id>maven.aksw.snapshots</id>
<name>University Leipzig, AKSW Maven2 Snapshot Repository</name>
<url>http://maven.aksw.org/repository/snapshots/</url>
</repository>
</repositories>
For more detailed information about how to run or extend DEER, please read the manual and consult the Javadoc
./release ${new-version} ${new-snapshot-version}